HashiCorp’s Packer is an open source project that automates the building of machine images across cloud provider and virtualization tools. It is used for business critical operations around the world, at start-ups and Fortune 500 companies. Candidates will need to manage the complexity of a broad integration portfolio, while at the same time keeping the project focused by adhering to the Tao of Hashicorp.\n\nWe want you to contribute to the development and maintenance of Packer in tight collaboration with the growing Packer community, utilizing operations and engineering skills to work across a diverse set of infrastructure providers.\n\n# Responsibilities\n
In this role, you can expect to:\n\n* Support integrations with new and existing infrastructure providers.\n* Help support open source contributors, new and seasoned, with supportive and constructive code review, documentation improvements, and workflow changes.\n* Work on Packer issues and improvements critical to the success of HashiCorp customers and the broader community.\n \n\n# Requirements\nYou may be a good fit for our team if:\n\n* You have experience writing Go or another strongly typed & statically compiled language like C/C++\n* You have experience with customer support or OSS community support to help interface with the Packer community.\n* You have experience operating and maintaining production systems in a Linux and public cloud environment.\n* You are familiar with infrastructure management concepts and ecosystem.\n* You have experience using Packer and care about its users' experience. \n\n#Location\n- US, Canada, UK, Netherlands, Germany

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Cloud Devops Engineer with R&D or Backend Dev in Go

Our vision: we empower people and customers. \n\nOur purpose: we want to simplify DevOps and Cloud adoption, empower people (dev, ops, project manager, CTO) to focus on what matters through our DevOps platform & services.\n\nAbout you: \nYou are a passionate DevOps, which is the most important, fun, we like fun people, and with an expertise in Operations with troubleshooting. \n\nYou like various technologies such as Kubernetes, Docker, Pacer, Ansible, Terraform, Prometheus.\n\nOn the Ops side, you have a successful experience in a Cloud provider, certifications are preferred.\n\nYou like to design architecture, collaborate with developers to fix problems and provide long-term solutions. Providing service and automation on Cloud is a pleasure.\n\nYou like to identify problems, are capable of commenting in a constructive, positive & open way to the team. Mindset is what is the most important.\n\nOn the Dev / R&D side, you want to be a change-maker by developing products, our DevOps platform, that will facilitate DevOps and Cloud adoption for our customers.\n\nThe main difference between a SysOps and a DevOps is that you have an experience in development. \n\nIn development, an experience in Development: C / C++ is nice, Golang would be better, or any another concrete experience/language. \n\nYou will work 50% on integration / service & 50% development or R&D to improve both your skills and break the monotony as we also don't dedicate people to a customer. \n\nYou can decide to work on-site in Paris or on remote whenever you are located but all the organization is in an asynchronous manner, keeping a good team culture through Slack and conference meetings. We have people in UK, Spain, Germany, Israël and Sueden..\n\nYou have adequate written and oral communication skills in English, any others languages would be a plus. \n\n#Location\n- 🇪🇺EU-only

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.